Class

scalismo.registration

MeanSquaresMetric

Related Doc: package registration

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case class MeanSquaresMetric[D <: Dim](sampler: Sampler[D])(implicit evidence$1: NDSpace[D]) extends ImageMetric[D] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, ImageMetric[D], AnyRef, Any
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Inherited
  1. MeanSquaresMetric
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. ImageMetric
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new MeanSquaresMetric(sampler: Sampler[D])(implicit arg0: NDSpace[D])

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  7. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  8. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  9. val integrator: Integrator[D]

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    Definition Classes
    ImageMetric
  10. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  11. val ndSpace: NDSpace[D]

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    Definition Classes
    MeanSquaresMetricImageMetric
  12. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  13. final def notify(): Unit

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    Definition Classes
    AnyRef
  14. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  15. val sampler: Sampler[D]

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    Definition Classes
    MeanSquaresMetricImageMetric
  16. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  17. def takeDerivativeWRTToTransform(fixedImage: DifferentiableScalarImage[D], movingImage: ScalarImage[D], transform: Transformation[D]): (Point[D]) ⇒ Option[DenseVector[Float]]

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    Implementations of this method should return the full derivations i.e: (d/dMovingImage M(fixed,moving)(x)) * (d/dx(movingImage(transform(x))))

    Implementations of this method should return the full derivations i.e: (d/dMovingImage M(fixed,moving)(x)) * (d/dx(movingImage(transform(x))))

    Definition Classes
    MeanSquaresMetricImageMetric
  18. def value(fixedImage: ScalarImage[D], movingImage: ScalarImage[D], transform: Transformation[D]): Double

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    Definition Classes
    MeanSquaresMetricImageMetric
  19. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from ImageMetric[D]

Inherited from AnyRef

Inherited from Any

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